Imperial College London
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Dr Dandan Zhang

Faculty of Engineering, Department of Bioengineering

Lecturer in Artificial Intelligence & Machine Learning
 
 
 
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Contact

 

d.zhang17 Website

 
 
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Location

 

402Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhang:2023:10.3389/frobt.2022.1086043,
author = {Zhang, D and Gorochowski, TE and Marucci, L and Lee, H-T and Gil, B and Li, B and Hauert, S and Yeatman, E},
doi = {10.3389/frobt.2022.1086043},
journal = {Frontiers in Robotics and AI},
pages = {1--19},
title = {Advanced medical micro-robotics for early diagnosis and therapeutic interventions},
url = {http://dx.doi.org/10.3389/frobt.2022.1086043},
volume = {9},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Recent technological advances in micro-robotics have demonstrated their immense potential for biomedical applications. Emerging micro-robots have versatile sensing systems, flexible locomotion and dexterous manipulation capabilities that can significantly contribute to the healthcare system. Despite the appreciated and tangible benefits of medical micro-robotics, many challenges still remain. Here, we review the major challenges, current trends and significant achievements for developing versatile and intelligent micro-robotics with a focus on applications in early diagnosis and therapeutic interventions. We also consider some recent emerging micro-robotic technologies that employ synthetic biology to support a new generation of living micro-robots. We expect to inspire future development of micro-robots toward clinical translation by identifying the roadblocks that need to be overcome.
AU  - Zhang,D
AU  - Gorochowski,TE
AU  - Marucci,L
AU  - Lee,H-T
AU  - Gil,B
AU  - Li,B
AU  - Hauert,S
AU  - Yeatman,E
DO  - 10.3389/frobt.2022.1086043
EP  - 19
PY  - 2023///
SN  - 2296-9144
SP  - 1
TI  - Advanced medical micro-robotics for early diagnosis and therapeutic interventions
T2  - Frontiers in Robotics and AI
UR  - http://dx.doi.org/10.3389/frobt.2022.1086043
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000921876000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.frontiersin.org/articles/10.3389/frobt.2022.1086043/full
UR  - http://hdl.handle.net/10044/1/104103
VL  - 9
ER  -
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